Long Jin

13.8k total citations · 2 hit papers
388 papers, 9.6k citations indexed

About

Long Jin is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Long Jin has authored 388 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Control and Systems Engineering, 121 papers in Artificial Intelligence and 59 papers in Computer Vision and Pattern Recognition. Recurrent topics in Long Jin's work include Robotic Mechanisms and Dynamics (70 papers), Neural Networks and Applications (69 papers) and Adaptive Control of Nonlinear Systems (36 papers). Long Jin is often cited by papers focused on Robotic Mechanisms and Dynamics (70 papers), Neural Networks and Applications (69 papers) and Adaptive Control of Nonlinear Systems (36 papers). Long Jin collaborates with scholars based in China, Hong Kong and United States. Long Jin's co-authors include Shuai Li, Yunong Zhang, Xin Luo, Mei Liu, Bolin Liao, Zhijun Zhang, Lin Xiao, Yinyan Zhang, Zhengtai Xie and Zhongbo Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Journal of Agricultural and Food Chemistry.

In The Last Decade

Long Jin

362 papers receiving 9.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gradient-Based Differential Neural-Solution to Time-Dependent Nonlinear Optimization

2022 112 citations Long Jin, Lin Wei et al. profile →
A Distributed Competitive and Collaborative Coordination for Multirobot Systems

2024 47 citations Mei Liu, Long Jin et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Long Jin	4.8k	3.2k	1.9k	936	890	388	9.6k
Yunong Zhang	9.2k 1.9×	4.5k 1.4×	2.8k 1.5×	1.2k 1.3×	910 1.0×	594	12.9k
Radu‐Emil Precup	5.4k 1.1×	2.9k 0.9×	905 0.5×	306 0.3×	689 0.8×	400	9.1k
S.A. Billings	7.2k 1.5×	3.1k 1.0×	766 0.4×	1.1k 1.2×	611 0.7×	306	12.9k
Meng Joo Er	3.6k 0.8×	2.8k 0.9×	1.3k 0.7×	274 0.3×	399 0.4×	304	8.3k
Yeng Chai Soh	5.8k 1.2×	2.5k 0.8×	1.5k 0.8×	707 0.8×	607 0.7×	435	12.7k
Vladimir Stojanović	3.2k 0.7×	1.8k 0.6×	1.0k 0.5×	282 0.3×	433 0.5×	87	6.9k
Zhijun Zhang	3.2k 0.7×	1.8k 0.6×	1.4k 0.7×	392 0.4×	449 0.5×	244	5.4k
M. Vidyasagar	4.5k 0.9×	1.1k 0.3×	661 0.3×	505 0.5×	886 1.0×	141	7.5k
Yi Chai	2.4k 0.5×	1.0k 0.3×	1.6k 0.8×	639 0.7×	400 0.4×	401	7.3k
Emil M. Petriu	3.1k 0.7×	1.9k 0.6×	1.8k 0.9×	151 0.2×	938 1.1×	508	8.2k

Countries citing papers authored by Long Jin

Since Specialization

Citations

This map shows the geographic impact of Long Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Long Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Jin more than expected).

Fields of papers citing papers by Long Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Long Jin. The network helps show where Long Jin may publish in the future.

Co-authorship network of co-authors of Long Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Long Jin. A scholar is included among the top collaborators of Long Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Long Jin. Long Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jin, Long, et al.. (2024). Noise-resistant sharpness-aware minimization in deep learning. Neural Networks. 181. 106829–106829. 2 indexed citations

Chen, Liangming, Long Jin, Mingsheng Shang, & Fei‐Yue Wang. (2024). Enhancing Representation Power of Deep Neural Networks With Negligible Parameter Growth for Industrial Applications. IEEE Transactions on Systems Man and Cybernetics Systems. 54(11). 6837–6848. 1 indexed citations

Li, Weibing, et al.. (2024). A Lower Dimension Zeroing Neural Network for Time-Variant Quadratic Programming Applied to Robot Pose Control. IEEE Transactions on Industrial Informatics. 20(10). 11835–11843. 9 indexed citations

Guan, Ziyu, et al.. (2024). NodeMixup: Tackling Under-Reaching for Graph Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14175–14183. 9 indexed citations

Xie, Zhengtai, Y. Zheng, & Long Jin. (2024). A Data-Driven Image-Based Visual Servoing Scheme for Redundant Manipulators With Unknown Structure and Singularity Solution. IEEE Transactions on Systems Man and Cybernetics Systems. 54(10). 6230–6241. 6 indexed citations

Jin, Long, et al.. (2024). Distributed Collaboration in Multimanipulator Systems With Switching and Weight-Unbalanced Topologies. IEEE/ASME Transactions on Mechatronics. 30(3). 2199–2209.

Jin, Long, Kun Liu, & Mei Liu. (2024). Robust and Remote Center of Cyclic Motion Control for Redundant Robots with Partially Unknown Structure. 3492–3498.

Yan, Jingkun, Long Jin, & Bin Hu. (2024). Data-Driven Model Predictive Control for Redundant Manipulators With Unknown Model. IEEE Transactions on Cybernetics. 54(10). 5901–5911. 24 indexed citations

Su, Zhenming, et al.. (2024). Discrete-Time Noise-Resilient Neural Dynamics for Model Predictive Motion-Force Control of Redundant Manipulators. IEEE Transactions on Industrial Informatics. 20(11). 13101–13112. 3 indexed citations

10.

Wei, Lin & Long Jin. (2024). Collaborative Neural Solution for Time-Varying Nonconvex Optimization With Noise Rejection. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(4). 2935–2948. 28 indexed citations

11.

Su, Dan, et al.. (2023). Constructing convolutional neural network by utilizing nematode connectome: A brain-inspired method. Applied Soft Computing. 149. 110992–110992. 4 indexed citations

12.

Tao, Ye, et al.. (2023). Global research hot spot and trends in tinnitus treatment between 2000 and 2021: A bibliometric and visualized study. Frontiers in Neurology. 13. 1085684–1085684. 4 indexed citations

13.

Xiao, Xiuchun, et al.. (2023). Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection. Expert Systems with Applications. 229. 120490–120490. 17 indexed citations

14.

Wang, Yiwei, Long Jin, Jian Rong, et al.. (2023). Optimization of source pencils loading plan with genetic algorithm for gamma irradiation facility. Radiation Physics and Chemistry. 207. 110839–110839. 4 indexed citations

15.

Cui, Chuanjian, Qi Chen, Chuanyi Peng, et al.. (2023). 1H NMR-based metabolomics combined with chemometrics to detect edible oil adulteration in huajiao (Zanthoxylum bungeanum Maxim.). Food Chemistry. 423. 136305–136305. 13 indexed citations

16.

Stanimirović, Predrag S., et al.. (2023). Neural dynamics for improving optimiser in deep learning with noise considered. CAAI Transactions on Intelligence Technology. 9(3). 722–737. 12 indexed citations

17.

Ouyang, Hui, et al.. (2022). Exploring the effects of heat processing methods on the characteristic volatile flavour of walnut kernels based on multi‐sensory analysis. International Journal of Food Science & Technology. 58(2). 543–556. 10 indexed citations

18.

Li, Yanan, et al.. (2022). Tracing the Geographical Origin of Zanthoxylum bungeanum by Volatile Compounds. SHILAP Revista de lepidopterología. 1 indexed citations

19.

Jin, Long, et al.. (2022). RNN-Based Quadratic Programming Scheme for Tennis-Training Robots With Flexible Capabilities. IEEE Transactions on Systems Man and Cybernetics Systems. 53(2). 838–847. 10 indexed citations

20.

Jin, Long, Jiazheng Zhang, Xin Luo, et al.. (2020). Perturbed Manipulability Optimization in a Distributed Network of Redundant Robots. IEEE Transactions on Industrial Electronics. 68(8). 7209–7220. 42 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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